CN108288179A - A kind of user preference source of houses computational methods and system - Google Patents

A kind of user preference source of houses computational methods and system Download PDF

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CN108288179A
CN108288179A CN201810074317.8A CN201810074317A CN108288179A CN 108288179 A CN108288179 A CN 108288179A CN 201810074317 A CN201810074317 A CN 201810074317A CN 108288179 A CN108288179 A CN 108288179A
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CN108288179B (en
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贾忠良
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Lianjia Beijing Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0203Market surveys; Market polls
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0645Rental transactions; Leasing transactions

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Abstract

A kind of user preference source of houses computational methods of offer of the embodiment of the present invention and system, the method includes:Obtain source of houses behavior under source of houses behavior and line on the line of user;Obtain the weight of source of houses behavior under the weight of source of houses behavior and the line on the line;According to the weight of source of houses behavior under the weight of source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line and the line, the weight score of the corresponding option of source of houses attribute is calculated;According to the weight score of the corresponding option of the source of houses attribute, the source of houses of the user preference is obtained.This method and system can improve the accuracy of the calculating to the user preference source of houses, and then recommend more personalized information of real estate for user, and the user experience is improved.

Description

A kind of user preference source of houses computational methods and system
Technical field
The present embodiments relate to House Resource Management technical field more particularly to a kind of user preference source of houses computational methods and it is System.
Background technology
In order to improve the probability of transaction rented a house, it is necessary first to understand user's interested source of houses when renting a house.It mainly adopts at present With the mode of questionnaire on line, the interested source of houses of user is obtained.
Some problems can be usually set in questionnaire, these problems may include the room of the interested source of houses of user Source attribute, wherein source of houses attribute may include the room number of the source of houses, the direction etc. of the price range of the source of houses and the source of houses, each Source of houses attribute can be provided with several options, for example, the room number of the source of houses can be provided with a room, two-bed room and three-bed room Equal options, user can select according to the demand of oneself.
By inquiry questionnaire can very directly, clearly get the interested source of houses of user, still, usually fill in investigation The user volume of questionnaire is limited, in addition, the interested source of houses of user may change with the variation of time, for example, user year When first, the interested source of houses filled on questionnaire has still arrived year end for 3000 yuan of a room, user's sense The source of houses of interest may become 5000 yuan of two-bed room.Therefore, the interested source of houses of user that the mode of questionnaire is got, Accuracy is not high.
Invention content
For problems of the prior art, the embodiment of the present invention provides a kind of user preference source of houses computational methods and is System.
In a first aspect, the embodiment of the present invention provides a kind of user preference source of houses computational methods, the method includes:
Obtain source of houses behavior under source of houses behavior and line on the line of user;
Obtain the weight of source of houses behavior under the weight of source of houses behavior and the line on the line;
According to the weight of source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line and The weight of source of houses behavior under the line calculates the weight score of the corresponding option of source of houses attribute;
According to the weight score of the corresponding option of the source of houses attribute, the source of houses of the user preference is obtained.
Second aspect, the embodiment of the present invention provide a kind of user preference source of houses computing system, the system comprises:
First acquisition module, source of houses behavior under source of houses behavior and line on the line for obtaining user;
Second acquisition module, the weight for obtaining source of houses behavior under the weight of source of houses behavior and the line on the line;
Weight score computing module, for according to source of houses behavior under source of houses behavior, line on the line of the user and described On line under the weight of source of houses behavior and the line source of houses behavior weight, calculate the weight point of the corresponding option of source of houses attribute Number;
It is inclined to obtain the user for the weight score according to the corresponding option of the source of houses attribute for source of houses computing module The good source of houses.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, and the equipment includes memory and processor, described Processor and the memory complete mutual communication by bus;The memory, which is stored with, to be executed by the processor Program instruction, the processor calls described program instruction to be able to carry out above-mentioned user preference source of houses computational methods.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program, The computer program realizes the above-mentioned user preference source of houses computational methods when being executed by processor.
User preference source of houses computational methods and system provided in an embodiment of the present invention pass through source of houses row on the line of acquisition user For with source of houses behavior under line, the weight of the weight of source of houses behavior and source of houses behavior under line on line is obtained, according to the line main room of user Under source behavior, line on source of houses behavior and line under the weight of source of houses behavior and line source of houses behavior weight, calculate source of houses attribute The weight score of corresponding option obtains the source of houses of user preference according to the weight score of the corresponding option of source of houses attribute.The party Method and system can improve the accuracy of the calculating to the user preference source of houses, and then recommend more personalized source of houses letter for user Breath, the user experience is improved.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root Other attached drawings are obtained according to these attached drawings.
Fig. 1 is user preference source of houses computational methods flow chart provided in an embodiment of the present invention;
Fig. 2 is the structural schematic diagram of user preference source of houses computing system provided in an embodiment of the present invention;
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention;
Fig. 4 is verification result schematic diagram provided in an embodiment of the present invention.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having The every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is user preference source of houses computational methods flow chart provided in an embodiment of the present invention, as shown in Figure 1, the method Including:
Step 10 obtains source of houses behavior under source of houses behavior and line on the line of user;
Step 11, the weight for obtaining source of houses behavior under the weight of source of houses behavior and the line on the line;
Step 12, according to source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line The weight of source of houses behavior under weight and the line, calculates the weight score of the corresponding option of source of houses attribute;
Step 13, according to the weight score of the corresponding option of the source of houses attribute, obtain the source of houses of the user preference.
Specifically, server can obtain source of houses behavior under source of houses behavior and line on the line of user.Wherein, source of houses row on line To may include:Browse the source of houses behavior, search for the source of houses behavior, pay close attention to the source of houses behavior, seek advice from source of houses broker behavior, Share one or more of the behavior of the behavior and the push source of houses of the source of houses.Wherein, the behavior for searching for the source of houses may include:Directly The mode of input searches for the behavior of the source of houses and the behavior according to the map search source of houses;The behavior of consulting source of houses broker can wrap It includes:The behavior of the source of houses is seeked advice to source of houses broker, the source of houses is seeked advice to source of houses broker by phone by instant chat software Behavior, the behavior for seeking advice from the source of houses to source of houses broker by short message, and online preengage before source of houses broker leads go to see the source of houses Behavior.
Source of houses behavior may include under line:The behavior of the source of houses, band is entrusted to see in the behavior of the source of houses and the behavior of the conclusion of the business source of houses One or more.Wherein, it refers to that source of houses broker seeks advice from according on the line of client to entrust the behavior of the source of houses, to lead referral The source of houses entrusts the behavior of the source of houses under line;Band sees that the behavior of the source of houses refers to the preceding row for going to see the source of houses under the leading of source of houses broker For.
Server can obtain the power of source of houses behavior under the weight of source of houses behavior and each line on each line from database Weight.For example, the corresponding weight of behavior of the browsing source of houses can be 0.1, the corresponding weight of behavior for searching for the source of houses can be 0.3, The corresponding weight of behavior for paying close attention to the source of houses can be 0.4, and the corresponding weight of behavior for seeking advice from source of houses broker can be 0.7, push away It can be 0.3 to send the corresponding weight of the behavior of the source of houses, and the corresponding weight of behavior for sharing the source of houses can be 0.6, entrust the source of houses The corresponding weight of behavior can be 0.7, and band sees that the corresponding weight of the behavior of the source of houses can be 1.3, and the behavior of the conclusion of the business source of houses corresponds to Weight can be 1.5.
Then, server can be according to source of houses behavior under source of houses behavior, line on the line of user, and source of houses row on each line For weight and each line under source of houses behavior weight, calculate the weight score of the corresponding option of source of houses attribute.Wherein, the source of houses Attribute may include:Floor where the room number of the source of houses, the price range of the source of houses, the source of houses, cell and room where the source of houses One or more of the direction in source.
Each source of houses attribute is both provided with corresponding option, for example, the corresponding option of room number of the source of houses may include: One room, two-bed room and three-bed room, server can extract one from source of houses behavior under source of houses behavior on the line of user and line On each line of the room source of houses under the number and each line of the source of houses behavior source of houses behavior number, then, by the source of houses on each line The number of behavior and corresponding multiplied by weight will be all by the number of source of houses behavior under each line and corresponding multiplied by weight Product addition, obtained numerical value are the weight score in a room.
For example, the number of visits of a room source of houses is t1, the searching times of a room source of houses are t2, the pass of a room source of houses Note number is t3, and consulting source of houses broker's number of a room source of houses is t4, and the number of sharing of a room source of houses is t5, a room The push times of the source of houses are t6, and the commission number of a room source of houses is t7, and the band of a room source of houses sees that number is t8, a room room The conclusion of the business number in source is t9, then server can calculate the weight score in a room:N1=t1 × 0.1+t2 × 0.3+t3 × 0.4+t4×0.7+t5×0.6+t6×0.3+t7×0.7+t8×1.3+t9×1.5。
Server can according to the method described above, calculate separately out the weight score in a room, two-bed room weight score and The weight score of three-bed room, to obtain the source of houses room number each option weight score.
Server can according to the method described above, calculate the weight score of each option of other source of houses attributes, then, root According to the weight score of the corresponding option of all source of houses attributes, the source of houses of user preference is obtained.
User preference source of houses computational methods provided in an embodiment of the present invention pass through source of houses behavior and line on the line of acquisition user Lower source of houses behavior obtains the weight of the weight of source of houses behavior and source of houses behavior under line on line, according to source of houses behavior on the line of user, Under line on source of houses behavior and line under the weight of source of houses behavior and line source of houses behavior weight, it is corresponding to calculate source of houses attribute The weight score of option obtains the source of houses of user preference according to the weight score of the corresponding option of source of houses attribute.This method can be with The accuracy of the calculating to the user preference source of houses is improved, and then recommends more personalized information of real estate for user, improves use It experiences at family.
Optionally, on the basis of the above embodiments, the weight score according to the corresponding option of the source of houses attribute, The source of houses of the user preference is obtained, including:
By maximum first option of the weight score of the source of houses attribute, screen corresponding for the source of houses of the user preference The option of the source of houses attribute;
According to the option of the corresponding source of houses attribute of the source of houses of the user preference, the room of the user preference is obtained Source.
Server calculates the weight point of the corresponding option of each source of houses attribute according to the method described in above-described embodiment After number, the weight score of the respective option of the same source of houses attribute can be compared, by the maximum option of weight score, It is denoted as the first option of the source of houses attribute.
For example, the weight score in the calculated room of server is N1, the weight score of two-bed room is N2, three-bed room Weight score is N3.If in N1, N2 and N3, maximum numerical value is N3, then the first option of the room number of the source of houses is Three-bed room.
Server can filter out the first option of other source of houses attributes according to the method described above, and the of all source of houses attributes One option can form the corresponding option of source of houses attribute of the user preference source of houses.
Server can be by the option of the source of houses attribute of the obtained user preference source of houses, with all sources of houses in database The option of source of houses attribute is matched, and the source of houses of successful match is screened, and as the source of houses of user preference, recommends use Family.
User preference source of houses computational methods provided in an embodiment of the present invention, by the way that the weight score of source of houses attribute is maximum First option screens the option of the corresponding source of houses attribute of the source of houses for user preference, is corresponded to according to the source of houses of user preference Source of houses attribute option, obtain the source of houses of user preference so that the method more science.
Optionally, on the basis of the above embodiments, the method further includes:
Obtain the second option of the corresponding source of houses attribute of the source of houses of the user's history preference and second choosing The corresponding weight score of item;
According to the time for obtaining second option and the time interval between the time of first option is obtained, and The corresponding weight score of second option, obtains the weight score after the corresponding decaying of second option;
If the corresponding weight score of first option is more than the weight score after the corresponding decaying of second option, Then by the option for the corresponding source of houses attribute of the source of houses that first option screening is the user preference.
Specifically, server is according to the method described in above-described embodiment, after obtaining the first option of source of houses attribute, also The option and the corresponding power of the option of the corresponding source of houses attribute of the source of houses of user's history preference can be obtained from database The option, can be denoted as the second option by weight score.
For example, the first option of the current source of houses attribute that server obtains is:The room number of the source of houses is three-bed room, right The weight score answered is N3.The option of the corresponding source of houses attribute of the source of houses for the user's history preference that server is got is:The source of houses Room number be two-bed room, corresponding weight score be N4.
Then, formula can be calculated as follows in server, calculate the weight score N4 of the second option after overdamping Weight score N4 ':
N4'=N4 × exp (- σ × D)
Wherein, σ is attenuation coefficient, and D is to obtain the time of the first option and obtain the time between the time of the second option Interval, the size of σ is related with D, and σ increases with the increase of D.
Server can compare the corresponding weight score power after overdamping corresponding with the second option of the first option Weight score, if the corresponding weight score of the first option is more than the corresponding weight score after overdamping of the second option, then By the option for the corresponding source of houses attribute of the source of houses that the screening of the first option is user preference.
For example, server can compare N3 and N4 ' size, if N3 is more than N4 ', server can sieve three-bed room It is selected as the option of the corresponding room number of the source of houses of user preference.
Server can according to the method described above, filter out the option of other corresponding source of houses attributes of the source of houses of user preference, Then, by the option of the source of houses attribute of the obtained user preference source of houses, the choosing with the source of houses attribute of all sources of houses in database Item is matched, and the source of houses of successful match is screened, as the source of houses of user preference, recommends user.
Fig. 4 is verification result schematic diagram provided in an embodiment of the present invention.According to method provided in an embodiment of the present invention, to even Continue on the line of trimestral user that source of houses behavior is analyzed under source of houses behavior and line, according to analysis as a result, obtaining each use The source of houses of family preference recommends user personalized information of real estate according to the source of houses of user preference.Then, from hit ratio, standard True rate, recall rate and F value four dimensions are verified, wherein hitting ratio (HitRate) refers to:Click the source of houses recommended Number of users accounts for the ratio of total number of users;Accuracy rate (precision) refers to:The number and user that the source of houses of recommendation is clicked by user The ratio of the number of the source of houses of actual click;Recall rate (Recall) refers to:The number that the source of houses of recommendation is clicked by user occupies The ratio of family actual click number;F values (FMeasure) refer to:(2 × accuracy rate × recall rate) and (accuracy rate+recall rate) Ratio.As shown in figure 4, the value of this four parameters is relatively high, illustrate that the user preference source of houses provided in an embodiment of the present invention calculates The accuracy of method is very high.
User preference source of houses computational methods provided in an embodiment of the present invention, the source of houses by obtaining user's history preference correspond to Source of houses attribute the second option and the corresponding weight score of the second option, according to obtaining time of the second option and obtain The corresponding weight score of time interval and the second option between the time of first option, obtains that the second option is corresponding to decline Weight score after subtracting, if the corresponding weight score of the first option is more than the weight point after the corresponding decaying of the second option Number, then by the option for the corresponding source of houses attribute of the source of houses that the screening of the first option is user preference so that the method more science.
Optionally, on the basis of the above embodiments, the method further includes:
If the corresponding weight score of first option is less than the weight score after the corresponding decaying of second option, Then by the option for the corresponding source of houses attribute of the source of houses that second option screening is the user preference.
Specifically, server is according to the method described in above-described embodiment, compare the corresponding weight score of the first option with When the corresponding weight score after overdamping of the second option, if the corresponding weight score of the first option is less than the second choosing The screening of second option is then the corresponding source of houses attribute of the source of houses of user preference by the corresponding weight score after overdamping of item Option.
For example, server can compare N3 and N4 ' size, if N3 is less than N4 ', server can sieve two-bed room It is selected as the option of the corresponding room number of the source of houses of user preference.
User preference source of houses computational methods provided in an embodiment of the present invention, if the corresponding weight score of the first option is less than the The screening of second option is then the corresponding source of houses attribute of the source of houses of user preference by the weight score after the corresponding decaying of two options Option so that the method more science.
Fig. 2 is the structural schematic diagram of user preference source of houses computing system provided in an embodiment of the present invention, as shown in Fig. 2, institute The system of stating includes:First acquisition module 20, the second acquisition module 21, weight score computing module 22 and source of houses computing module 23, Wherein:
First acquisition module 20 is used to obtain source of houses behavior under source of houses behavior and line on the line of user;Second acquisition module 21 Weight for obtaining source of houses behavior under the weight of source of houses behavior and the line on the line;Weight score computing module 22 is used for According under the weight and the line of source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line The weight of source of houses behavior calculates the weight score of the corresponding option of source of houses attribute;Source of houses computing module 23 is used for according to The weight score of the corresponding option of source of houses attribute, obtains the source of houses of the user preference.
Specifically, user preference source of houses computing system provided in an embodiment of the present invention may include:First acquisition module 20, Second acquisition module 21, weight score computing module 22 and source of houses computing module 23.
First acquisition module 20 can obtain source of houses behavior under source of houses behavior and line on the line of user.Wherein, the source of houses on line Behavior may include:The behavior for browsing the source of houses, the behavior for searching for the source of houses, the behavior for paying close attention to the source of houses, the row for seeking advice from source of houses broker For, share the source of houses behavior and push the source of houses one or more of behavior.Wherein, the behavior for searching for the source of houses may include: The mode directly inputted searches for the behavior of the source of houses and the behavior according to the map search source of houses;The behavior for seeking advice from source of houses broker can be with Including:The behavior of the source of houses is seeked advice to source of houses broker, the source of houses is seeked advice to source of houses broker by phone by instant chat software Behavior, seek advice from by short message the behavior of the source of houses to source of houses broker, and online reservation source of houses broker lead before go to see room The behavior in source.
Source of houses behavior may include under line:The behavior of the source of houses, band is entrusted to see in the behavior of the source of houses and the behavior of the conclusion of the business source of houses One or more.Wherein, it refers to that source of houses broker seeks advice from according on the line of client to entrust the behavior of the source of houses, to lead referral The source of houses entrusts the behavior of the source of houses under line;Band sees that the behavior of the source of houses refers to the preceding row for going to see the source of houses under the leading of source of houses broker For.
Second acquisition module 21 can obtain on each line the source of houses under the weight of source of houses behavior and each line from database The weight of behavior.For example, the corresponding weight of behavior of the browsing source of houses can be 0.1, the corresponding weight of behavior for searching for the source of houses can Think 0.3, the corresponding weight of behavior for paying close attention to the source of houses can be 0.4, and the corresponding weight of behavior for seeking advice from source of houses broker can be with It is 0.7, the corresponding weight of behavior for pushing the source of houses can be 0.3, and the corresponding weight of behavior for sharing the source of houses can be 0.6, committee It can be 0.7 to hold in the palm the corresponding weight of behavior of the source of houses, and band sees that the corresponding weight of the behavior of the source of houses can be 1.3, the conclusion of the business source of houses The corresponding weight of behavior can be 1.5.
Weight score computing module 22 can be according to source of houses behavior under source of houses behavior, line on the line of user and each line The weight of source of houses behavior under the weight of upper source of houses behavior and each line, calculates the weight score of the corresponding option of source of houses attribute. Wherein, source of houses attribute may include:Where floor, the source of houses where the room number of the source of houses, the price range of the source of houses, the source of houses One or more of the direction of cell and the source of houses.
Each source of houses attribute is both provided with corresponding option, for example, the corresponding option of room number of the source of houses may include: One room, two-bed room and three-bed room, weight score computing module 22 can be from source of houses rows under source of houses behavior on the line of user and line For in, the number of source of houses behavior under the number and each line of source of houses behavior on each line of a room source of houses is extracted, it then, will The number of source of houses behavior and corresponding multiplied by weight on each line, by the number of source of houses behavior under each line and corresponding weight phase Multiply, by all product additions, obtained numerical value is the weight score in a room.
For example, the number of visits of a room source of houses is t1, the searching times of a room source of houses are t2, the pass of a room source of houses Note number is t3, and consulting source of houses broker's number of a room source of houses is t4, and the number of sharing of a room source of houses is t5, a room The push times of the source of houses are t6, and the commission number of a room source of houses is t7, and the band of a room source of houses sees that number is t8, a room room The conclusion of the business number in source is t9, then weight score computing module 22 can calculate the weight score in a room:N1=t1 × 0.1+ t2×0.3+t3×0.4+t4×0.7+t5×0.6+t6×0.3+t7×0.7+t8×1.3+t9×1.5。
Weight score computing module 22 can according to the method described above, calculate separately out weight score, the two-bed room in a room Weight score and three-bed room weight score, to obtain the source of houses room number each option weight score.
Weight score computing module 22 can according to the method described above, calculate the weight of each option of other source of houses attributes Score, source of houses computing module 23 can obtain the room of user preference according to the weight score of the corresponding option of all source of houses attributes Source.
User preference source of houses computing system provided in an embodiment of the present invention, function referring in particular to above method embodiment, Details are not described herein again.
User preference source of houses computing system provided in an embodiment of the present invention passes through source of houses behavior and line on the line of acquisition user Lower source of houses behavior obtains the weight of the weight of source of houses behavior and source of houses behavior under line on line, according to source of houses behavior on the line of user, Under line on source of houses behavior and line under the weight of source of houses behavior and line source of houses behavior weight, it is corresponding to calculate source of houses attribute The weight score of option obtains the source of houses of user preference according to the weight score of the corresponding option of source of houses attribute.The system can be with The accuracy of the calculating to the user preference source of houses is improved, and then recommends more personalized information of real estate for user, improves use It experiences at family.
Optionally, on the basis of the above embodiments, the source of houses computing module includes:Submodule and the source of houses is selected to calculate Submodule, wherein:
Select submodule be used for by maximum first option of the weight score of the source of houses attribute, screen for the user it is inclined The option of the good corresponding source of houses attribute of the source of houses;Source of houses computational submodule is used to be corresponded to according to the source of houses of the user preference The source of houses attribute option, obtain the source of houses of the user preference.
Specifically, the source of houses computing module described in above-described embodiment may include:Submodule and the source of houses is selected to calculate son Module.
Weight score computing module calculates the corresponding choosing of each source of houses attribute according to the method described in above-described embodiment After the weight score of item, select submodule that can be compared to the weight score of the respective option of the same source of houses attribute, By the maximum option of weight score, it is denoted as the first option of the source of houses attribute.
For example, the weight score in the calculated room of weight score computing module is N1, the weight score of two-bed room is The weight score of N2, three-bed room are N3.If select submodule to pass through it was found that, in N1, N2 and N3, numerical value is maximum Be N3, then by three-bed room screening be the source of houses room number the first option.
Selection submodule can filter out the first option of other source of houses attributes, all source of houses attributes according to the method described above The first option can form the corresponding option of source of houses attribute of the user preference source of houses.
Source of houses computational submodule can be by the option of the source of houses attribute of the obtained user preference source of houses, with the institute in database There is the option of the source of houses attribute of the source of houses to be matched, the source of houses of successful match is screened, as the source of houses of user preference, pushes away It recommends to user.
User preference source of houses computing system provided in an embodiment of the present invention, by the way that the weight score of source of houses attribute is maximum First option screens the option of the corresponding source of houses attribute of the source of houses for user preference, is corresponded to according to the source of houses of user preference Source of houses attribute option, obtain the source of houses of user preference so that the system more science.
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, the equipment includes:Place Device (processor) 31, memory (memory) 32 and bus 33 are managed, wherein:
The processor 31 and the memory 32 complete mutual communication by the bus 33;The processor 31 For calling the program instruction in the memory 32, to execute the method that above-mentioned each method embodiment is provided, such as including: Obtain source of houses behavior under source of houses behavior and line on the line of user;Obtain on the line source of houses under the weight of source of houses behavior and the line The weight of behavior;According to the weight of source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line With the weight of source of houses behavior under the line, the weight score of the corresponding option of source of houses attribute is calculated;According to the source of houses attribute The weight score of corresponding option, obtains the source of houses of the user preference.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt When computer executes, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including:Obtain the line of user Source of houses behavior under upper source of houses behavior and line;Obtain the weight of source of houses behavior under the weight of source of houses behavior and the line on the line; According under the weight and the line of source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line The weight of source of houses behavior calculates the weight score of the corresponding option of source of houses attribute;According to the corresponding option of the source of houses attribute Weight score, obtain the source of houses of the user preference.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage Medium storing computer instructs, and the computer instruction makes the computer execute the side that above-mentioned each method embodiment is provided Method, such as including:Obtain source of houses behavior under source of houses behavior and line on the line of user;Obtain on the line weight of source of houses behavior and The weight of source of houses behavior under the line;According to source of houses behavior under source of houses behavior, line on the line of the user and the line main room The weight of source of houses behavior under the weight of source behavior and the line, calculates the weight score of the corresponding option of source of houses attribute;According to The weight score of the corresponding option of the source of houses attribute, obtains the source of houses of the user preference.
The embodiments such as electronic equipment described above are only schematical, illustrate as separating component wherein described Unit may or may not be physically separated, and the component shown as unit may or may not be object Manage unit, you can be located at a place, or may be distributed over multiple network units.It can select according to the actual needs Some or all of module therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying wound In the case of the labour for the property made, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on Stating technical solution, substantially the part that contributes to existing technology can be expressed in the form of software products in other words, should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation Method described in certain parts of example or embodiment.
Finally it should be noted that:The above various embodiments is only to illustrate the technical solution of the embodiment of the present invention rather than right It is limited;Although the embodiment of the present invention is described in detail with reference to foregoing embodiments, the ordinary skill of this field Personnel should understand that:It still can be with technical scheme described in the above embodiments is modified, or to which part Or all technical features carries out equivalent replacement;And these modifications or replacements, it does not separate the essence of the corresponding technical solution The range of each embodiment technical solution of the embodiment of the present invention.

Claims (10)

1. a kind of user preference source of houses computational methods, which is characterized in that including:
Obtain source of houses behavior under source of houses behavior and line on the line of user;
Obtain the weight of source of houses behavior under the weight of source of houses behavior and the line on the line;
According to the weight of source of houses behavior on source of houses behavior under source of houses behavior, line on the line of the user and the line and described The weight of source of houses behavior under line calculates the weight score of the corresponding option of source of houses attribute;
According to the weight score of the corresponding option of the source of houses attribute, the source of houses of the user preference is obtained.
2. according to the method described in claim 1, it is characterized in that, on the line source of houses behavior include:The behavior of the browsing source of houses, Search for the behavior of the source of houses, the behavior of the concern source of houses, the behavior for seeking advice from source of houses broker, the behavior for sharing the source of houses and the push source of houses One or more of behavior;
Source of houses behavior includes under the line:The behavior of the source of houses, band is entrusted to see one in the behavior of the source of houses and the behavior of the conclusion of the business source of houses It is a or multiple;
The source of houses attribute includes:Where floor, the source of houses where the room number of the source of houses, the price range of the source of houses, the source of houses One or more of the direction of cell and the source of houses.
3. according to the method described in claim 1, it is characterized in that, the weight according to the corresponding option of the source of houses attribute Score obtains the source of houses of the user preference, including:
By maximum first option of the weight score of the source of houses attribute, screen corresponding described for the source of houses of the user preference The option of source of houses attribute;
According to the option of the corresponding source of houses attribute of the source of houses of the user preference, the source of houses of the user preference is obtained.
4. according to the method described in claim 3, it is characterized in that, further including:
Obtain the second option of the corresponding source of houses attribute of the source of houses of the user's history preference and second option pair The weight score answered;
According to the time for obtaining second option and obtain time interval between the time of first option and described The corresponding weight score of second option obtains the weight score after the corresponding decaying of second option;
If the corresponding weight score of first option is more than the weight score after the corresponding decaying of second option, will The first option screening is the option of the corresponding source of houses attribute of the source of houses of the user preference.
5. according to the method described in claim 4, it is characterized in that, further including:
If the corresponding weight score of first option is less than the weight score after the corresponding decaying of second option, will The second option screening is the option of the corresponding source of houses attribute of the source of houses of the user preference.
6. a kind of user preference source of houses computing system, which is characterized in that including:
First acquisition module, source of houses behavior under source of houses behavior and line on the line for obtaining user;
Second acquisition module, the weight for obtaining source of houses behavior under the weight of source of houses behavior and the line on the line;
Weight score computing module, for according to source of houses behavior and the line under source of houses behavior, line on the line of the user The weight of source of houses behavior under the weight of source of houses behavior and the line, calculates the weight score of the corresponding option of source of houses attribute;
Source of houses computing module obtains the user preference for the weight score according to the corresponding option of the source of houses attribute The source of houses.
7. system according to claim 6, which is characterized in that first acquisition module is used to obtain the line main room of user Source of houses behavior under source behavior and line, wherein:
Source of houses behavior includes on the line:The behavior for browsing the source of houses, the behavior for searching for the source of houses, the behavior for paying close attention to the source of houses, consulting room The behavior of source broker, the behavior for sharing the source of houses and one or more of the behavior for pushing the source of houses;Source of houses behavior under the line Including:The behavior of the source of houses, band is entrusted to see the behavior of the source of houses and one or more of the behavior of the conclusion of the business source of houses;
The weight score computing module is used to calculate the weight score of the corresponding option of source of houses attribute, wherein:
The source of houses attribute includes:Where floor, the source of houses where the room number of the source of houses, the price range of the source of houses, the source of houses One or more of the direction of cell and the source of houses.
8. system according to claim 6, which is characterized in that the source of houses computing module includes:
Submodule is selected, for screening maximum first option of the weight score of the source of houses attribute for the user preference The corresponding source of houses attribute of the source of houses option;
Source of houses computational submodule is used for the option of the corresponding source of houses attribute of the source of houses according to the user preference, obtains institute State the source of houses of user preference.
9. a kind of electronic equipment, which is characterized in that including memory and processor, the processor and the memory pass through total Line completes mutual communication;The memory is stored with the program instruction that can be executed by the processor, the processor tune It is able to carry out the method as described in claim 1 to 5 is any with described program instruction.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt The method as described in claim 1 to 5 is any is realized when processor executes.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109377329A (en) * 2018-12-25 2019-02-22 北京时光荏苒科技有限公司 A kind of source of houses recommended method, device, storage medium and electronic equipment
CN110163685A (en) * 2019-05-27 2019-08-23 珠海幸福家网络科技股份有限公司 The customer priorities analysis system and analysis method of room track are seen based on client
CN110968801A (en) * 2019-12-04 2020-04-07 青梧桐有限责任公司 Real estate product searching method, storage medium and electronic device
CN111159561A (en) * 2019-12-31 2020-05-15 青梧桐有限责任公司 Method for constructing recommendation engine according to user behaviors and user portrait
CN111523032A (en) * 2020-04-22 2020-08-11 贝壳技术有限公司 Method, device, medium and electronic equipment for determining user preference
CN111553657A (en) * 2020-04-28 2020-08-18 贝壳技术有限公司 Matching method and device based on behavior analysis, electronic equipment and storage medium
CN111639988A (en) * 2020-05-22 2020-09-08 贝壳技术有限公司 Broker recommendation method, device, electronic equipment and storage medium
CN112001760A (en) * 2020-08-28 2020-11-27 贝壳技术有限公司 Potential user mining method and device, electronic equipment and storage medium
CN112035749A (en) * 2020-09-04 2020-12-04 贝壳技术有限公司 User behavior characteristic analysis method, recommendation method and corresponding devices
CN112669175A (en) * 2020-12-31 2021-04-16 杭州冠家房地产营销策划有限公司 Real estate marketing management method based on WeChat public number

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101794428A (en) * 2010-04-08 2010-08-04 严海强 Artificial intelligent building sale system
CN102034135A (en) * 2009-09-27 2011-04-27 上海华燕置业发展有限公司 Operating method of real estate financial service information integrated management system
US20120246574A1 (en) * 2011-03-23 2012-09-27 International Business Machines Corporation Utilizing social relationship information to discover a relevant active meeting
CN104216884A (en) * 2013-05-29 2014-12-17 酷盛(天津)科技有限公司 Collaborative filtering system and method on basis of time decay
CN104240163A (en) * 2014-09-28 2014-12-24 百度在线网络技术(北京)有限公司 Intelligent district recommendation method and intelligent district recommendation device
CN104679743A (en) * 2013-11-26 2015-06-03 阿里巴巴集团控股有限公司 Method and device for determining preference model of user
CN105574216A (en) * 2016-03-07 2016-05-11 达而观信息科技(上海)有限公司 Personalized recommendation method and system based on probability model and user behavior analysis
CN105631713A (en) * 2016-01-04 2016-06-01 广西住朋购友文化传媒有限公司 Property user screening method
CN106021337A (en) * 2016-05-09 2016-10-12 房加科技(北京)有限公司 A big data analysis-based intelligent recommendation method and system
CN106909663A (en) * 2017-02-27 2017-06-30 杭州泰指尚科技有限公司 Based on tagging user Brang Preference behavior prediction method and its device
CN106919641A (en) * 2017-01-12 2017-07-04 北京三快在线科技有限公司 A kind of interest point search method and device, electronic equipment
CN107025565A (en) * 2016-01-29 2017-08-08 北京京东尚科信息技术有限公司 A kind of method and system for improving e-commerce website conversion ratio
CN104899273B (en) * 2015-05-27 2017-08-25 东南大学 A kind of Web Personalization method based on topic and relative entropy
CN107194774A (en) * 2017-05-22 2017-09-22 携程旅游网络技术(上海)有限公司 Personalized hotel's commending system and method in OTA websites
CN107368519A (en) * 2017-06-05 2017-11-21 桂林电子科技大学 A kind of cooperative processing method and system for agreeing with user interest change
US20170358015A1 (en) * 2014-04-07 2017-12-14 Google Inc. User Location History Implies Diminished Review
CN107507041A (en) * 2017-09-08 2017-12-22 北京京东尚科信息技术有限公司 The construction method and construction device of user model

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102034135A (en) * 2009-09-27 2011-04-27 上海华燕置业发展有限公司 Operating method of real estate financial service information integrated management system
CN101794428A (en) * 2010-04-08 2010-08-04 严海强 Artificial intelligent building sale system
US20120246574A1 (en) * 2011-03-23 2012-09-27 International Business Machines Corporation Utilizing social relationship information to discover a relevant active meeting
CN104216884A (en) * 2013-05-29 2014-12-17 酷盛(天津)科技有限公司 Collaborative filtering system and method on basis of time decay
CN104679743A (en) * 2013-11-26 2015-06-03 阿里巴巴集团控股有限公司 Method and device for determining preference model of user
US20170358015A1 (en) * 2014-04-07 2017-12-14 Google Inc. User Location History Implies Diminished Review
CN104240163A (en) * 2014-09-28 2014-12-24 百度在线网络技术(北京)有限公司 Intelligent district recommendation method and intelligent district recommendation device
CN104899273B (en) * 2015-05-27 2017-08-25 东南大学 A kind of Web Personalization method based on topic and relative entropy
CN105631713A (en) * 2016-01-04 2016-06-01 广西住朋购友文化传媒有限公司 Property user screening method
CN107025565A (en) * 2016-01-29 2017-08-08 北京京东尚科信息技术有限公司 A kind of method and system for improving e-commerce website conversion ratio
CN105574216A (en) * 2016-03-07 2016-05-11 达而观信息科技(上海)有限公司 Personalized recommendation method and system based on probability model and user behavior analysis
CN106021337A (en) * 2016-05-09 2016-10-12 房加科技(北京)有限公司 A big data analysis-based intelligent recommendation method and system
CN106919641A (en) * 2017-01-12 2017-07-04 北京三快在线科技有限公司 A kind of interest point search method and device, electronic equipment
CN106909663A (en) * 2017-02-27 2017-06-30 杭州泰指尚科技有限公司 Based on tagging user Brang Preference behavior prediction method and its device
CN107194774A (en) * 2017-05-22 2017-09-22 携程旅游网络技术(上海)有限公司 Personalized hotel's commending system and method in OTA websites
CN107368519A (en) * 2017-06-05 2017-11-21 桂林电子科技大学 A kind of cooperative processing method and system for agreeing with user interest change
CN107507041A (en) * 2017-09-08 2017-12-22 北京京东尚科信息技术有限公司 The construction method and construction device of user model

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109377329A (en) * 2018-12-25 2019-02-22 北京时光荏苒科技有限公司 A kind of source of houses recommended method, device, storage medium and electronic equipment
CN109377329B (en) * 2018-12-25 2022-03-04 北京时光荏苒科技有限公司 House resource recommendation method and device, storage medium and electronic equipment
CN110163685A (en) * 2019-05-27 2019-08-23 珠海幸福家网络科技股份有限公司 The customer priorities analysis system and analysis method of room track are seen based on client
CN110968801A (en) * 2019-12-04 2020-04-07 青梧桐有限责任公司 Real estate product searching method, storage medium and electronic device
CN111159561A (en) * 2019-12-31 2020-05-15 青梧桐有限责任公司 Method for constructing recommendation engine according to user behaviors and user portrait
CN111523032A (en) * 2020-04-22 2020-08-11 贝壳技术有限公司 Method, device, medium and electronic equipment for determining user preference
CN111553657A (en) * 2020-04-28 2020-08-18 贝壳技术有限公司 Matching method and device based on behavior analysis, electronic equipment and storage medium
CN111639988A (en) * 2020-05-22 2020-09-08 贝壳技术有限公司 Broker recommendation method, device, electronic equipment and storage medium
CN111639988B (en) * 2020-05-22 2024-01-12 贝壳技术有限公司 Broker recommendation method, device, electronic equipment and storage medium
CN112001760A (en) * 2020-08-28 2020-11-27 贝壳技术有限公司 Potential user mining method and device, electronic equipment and storage medium
CN112035749A (en) * 2020-09-04 2020-12-04 贝壳技术有限公司 User behavior characteristic analysis method, recommendation method and corresponding devices
CN112669175A (en) * 2020-12-31 2021-04-16 杭州冠家房地产营销策划有限公司 Real estate marketing management method based on WeChat public number

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